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From Rule Changes to Risk Intelligence: How Financial Services Are
Adapting Faster
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April’s edition reflects a broader shift across lending,
fundraising, insurance, and investor protection: firms are being
pushed to operate with greater precision, stronger data discipline,
and faster decision-making. From SBA lenders responding to
eligibility rule changes to alternative asset managers addressing
consultant data demands, and from UK insurers strengthening
catastrophe modelling to finance teams improving control through
automation, the pattern is clear: performance now depends on how
well intelligence is structured and operationalized.
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DPA Launches Rakshak at Taj Mahal Palace Hotel,
Mumbai
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Decimal Point Analytics officially launched Rakshak,
its Agentic AI Portfolio Guardian, at a press
conference in Mumbai. The event highlighted
Rakshak’s vision of proactively monitoring
portfolios, identifying suspicious patterns,
generating real-time alerts, and strengthening
investor protection through agentic AI and
intelligent automation.
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This article examines the SBA 2026 citizenship rule change and its
implications for credit assessment, lending workflows, and operating
models in SBA loan markets. It highlights how regulatory shifts can
reshape risk evaluation and drive the need for stronger underwriting
and operational readiness.
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As consultants rely more on structured, platform-ready data,
fragmented and inconsistent updates can reduce visibility, slow
diligence, and weaken credibility. Discover why asset managers need
a scalable consultant-data architecture to improve consistency,
reduce manual effort, and support stronger fundraising outcomes.
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Catastrophe Modeling Services for UK Insurers
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As risk conditions become more volatile, catastrophe
modelling is becoming central to underwriting
accuracy, risk assessment, and climate-aware
insurance strategy. This blog focuses on how UK
insurers can strengthen modelling precision and
decision-making through better data integration,
risk modelling support, and automation-led insurance
operations.
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Decimal Point Analytics helped transform cashbook reviews through
formula-based templates, automated payment-reference capture, and a
standardized invoice-matching framework. The result was 40% faster
cashbook processing, improved data accuracy, stronger audit
readiness, and better scalability for growing transaction volumes.
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By standardizing validation workflows with templates, refreshable
pivot tables, and a more consistent control framework, Decimal Point
Analytics helped simplify IPT sense checks across bordereaux. The
engagement delivered faster processing, stronger operational
efficiency, lower compliance risk, and greater consistency in
reconciliation and validation.
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Rethinking Make in India in the Age of AI
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In this featured media coverage, Decimal Point
Analytics brings attention to the role of AI,
analytics, and automation in shaping India’s next
phase of growth. The piece reflects on how the
country’s innovation journey must evolve in an era
where intelligence, not just scale, will define
competitive advantage.
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Privacy Disclaimer
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We receive and store information about you collected from our
third-party data providers using publicly accessible information. We
use the information to provide, analyse, administer, enhance and
personalize our services & marketing efforts to communicate with
you concerning our services and products. For more details regarding
our privacy guidelines, please read the privacy policy
and terms-of-use
on our website. In case you don’t want us to contact you regarding
our services and products catalog, please email at marketing@decimalpointanalytics.com
to unsubscribe.
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www.decimalpointanalytics.com
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